Data Scientist

Job not on LinkedIn

🕒 6 days ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Clerk.dev

WebsiteLinkedInAll Job Openings

1 - 10 employees

☁️ SaaS

🔐 Security

🏢 Enterprise

SaaS • Security • Enterprise

Clerk. com is a comprehensive user management platform offering a suite of embeddable UIs, flexible APIs, and admin dashboards for user authentication and management. The platform provides features such as multifactor authentication, fraud prevention, SOC 2 type 2 certification, session management, social sign-on, bot detection, and more. Clerk integrates seamlessly with popular frameworks and tools, ensuring a smooth developer experience. It caters to multi-tenant SaaS applications with its suite of features designed for onboarding and management of users and organizations. Clerk is trusted by both startups and large enterprises, offering robust solutions for security and user authentication.

📋 Description

• Build Clerk’s machine learning infrastructure, including pipelines, training, and model serving from notebook to production • Turn Clerk’s internal data into products, including conversion and expansion scoring, lifetime value, and feature telemetry • Ship useful data products to customers, including a semantic layer for natural-language access to their data • Integrate models and signals into product and platform code in engineering repositories • Drive cross-team work with the teams owning product and platform code • Build dashboards, investigate trends, and speak with customers as needed

🎯 Requirements

• Staff-level Data Scientist or ML Engineer • Built machine learning systems from scratch and run them in production • Comfortable building as well as analyzing • Experience in developer tools or infrastructure products is a plus • Must live in the Americas • Must live within ±3 hours of U.S. Mountain Time (MDT, UTC−06:00) • Individual contributor seeking significant scope and autonomy • Comfortable working across data and engineering, including opening pull requests in adjacent engineering repositories • Product sense to identify worthwhile problems • Iterative “ship and iterate” approach • Technical fluency in data, machine learning, and infrastructure • Familiarity with or ability to quickly learn GCP/BQ, dbt, Dagster, ClickHouse, PostHog, and Hex

🏖️ Benefits

• Equity ownership / stock option plan • Top-tier health insurance • Home office gear of choice • Unlimited vacation policy (25 days per year recommended) • National holidays specific to country of residence • Diverse and inclusive globally distributed team

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